🛠 Tech Stack

💼 About This Role

You'll develop machine learning models for legal data analysis using NLP and Generative AI. You'll build predictive solutions for court cases and create POCs with LLMs. This role offers significant technical autonomy and exposure to cutting-edge AI technologies.

🎯 What You'll Do

• Develop classification and regression models for legal outcomes prediction
• Perform EDA on large legal datasets to identify patterns and insights
• Build POCs using LLMs for document summarization and legal text generation
• Implement RAG solutions, semantic search, and generative model adaptation

📋 Requirements

• Experience in Machine Learning with text and NLP
• Proficiency in Python with Scikit-learn, Pandas, TensorFlow, PyTorch, HuggingFace
• Practical experience with Generative AI and LLMs (RAG, fine-tuning)
• Knowledge of SQL (preferably PostgreSQL)

✨ Nice to Have

• Experience with legal data and XAI
• MLOps tools (Docker, MLflow)
• Advanced statistics and Reading Comprehension techniques

🎁 Benefits & Perks

• 🏠 100% Remote Work
• 🏥 Health Insurance and Life Insurance
• 🍽️ Meal Allowance and Home Office Aid
• 📚 Education Aid and Continuous Development
• 🚀 Innovation Program and Learning Culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Take-home Assignment· 1 week
4. 4Final Interview· 45 min